NVIDIA and Leading Computer Manufacturers Collaborate on AI Factories and Data Centers

NVIDIA
and
the
world’s
premier
computer
manufacturers
have
unveiled
advanced
systems
powered
by
NVIDIA’s
Blackwell
architecture,
featuring
Grace
CPUs
and
NVIDIA
networking,
to
support
enterprises
in
constructing
AI
factories
and
data
centers.
This
initiative
aims
to
propel
the
next
wave
of
generative
AI
breakthroughs,
according
to

NVIDIA
Newsroom.

COMPUTEX
Keynote
Highlights

During
his
COMPUTEX
keynote,
NVIDIA
founder
and
CEO
Jensen
Huang
announced
collaborations
with
prominent
industry
players.
Companies
such
as
ASRock
Rack,
ASUS,
GIGABYTE,
Ingrasys,
Inventec,
Pegatron,
QCT,
Supermicro,
Wistron,
and
Wiwynn
are
set
to
deliver
cloud,
on-premises,
embedded,
and
edge
AI
systems
utilizing
NVIDIA
GPUs
and
networking
infrastructure.

Huang
emphasized
the
dawn
of
the
next
industrial
revolution,
where
companies
and
nations
are
partnering
with
NVIDIA
to
transform
traditional
data
centers
into
accelerated
computing
hubs
known
as
AI
factories.
These
AI
factories
are
set
to
produce





artificial
intelligence
on
a
large
scale.

Comprehensive
Offerings

To
cater
to
diverse
application
needs,
the
offerings
range
from
single
to
multi-GPUs,
x86
to
Grace-based
processors,
and
air
to
liquid
cooling
technologies.
The
NVIDIA
MGX™
modular
reference
design
platform
now
supports
Blackwell
products,
including
the
new
NVIDIA
GB200
NVL2
platform,
which
is
designed
for
mainstream
large
language
model
inference,
retrieval-augmented
generation,
and
data
processing.

The
GB200
NVL2
platform
is
particularly
suitable
for
emerging
markets
such
as
data
analytics,
where
companies
invest
billions
annually.
Leveraging
high-bandwidth
memory
performance
through
NVLink®-C2C
interconnects
and
dedicated
decompression
engines,
Blackwell
architecture
enhances
data
processing
speed
by
up
to
18
times
and
improves
energy
efficiency
by
8
times
compared
to
x86
CPUs.

Modular
Reference
Architecture
for
Accelerated
Computing

NVIDIA
MGX
provides
a
reference
architecture
for
manufacturers
to
build
over
100
system
design
configurations
quickly
and
cost-effectively.
This
flexibility
allows
manufacturers
to
choose
their
GPU,
DPU,
and
CPU
to
address
various
workloads.
More
than
90
systems
from
over
25
partners
have
been
released
or
are
in
development,
significantly
up
from
14
systems
from
six
partners
last
year.
Utilizing
MGX
can
reduce
development
costs
by
up
to
three-quarters
and
shorten
development
time
to
just
six
months.

AMD
and
Intel
are
also
supporting
the
MGX
architecture,
with
plans
to
deliver
their
own
CPU
host
processor
module
designs.
These
include
the
next-generation
AMD
Turin
platform
and
the
Intel®
Xeon®
6
processor
with
P-cores
(formerly
codenamed
Granite
Rapids).
These
reference
designs
aim
to
save
development
time
while
ensuring
design
and
performance
consistency.

Ecosystem
and
Partner
Contributions

NVIDIA’s
comprehensive
partner
ecosystem
includes
TSMC,
the
world’s
leading
semiconductor
manufacturer,
and
global
electronics
makers
providing
key
components
for
AI
factories.
These
components
include
server
racks,
power
delivery,
cooling
solutions,
and
more
from
companies
such
as
Amphenol,
Asia
Vital
Components
(AVC),
Cooler
Master,
Colder
Products
Company
(CPC),
Danfoss,
Delta
Electronics,
and
LITEON.

This
collaborative
effort
ensures
that
new
data
center
infrastructure
can
be
rapidly
developed
and
deployed
to
meet
global
enterprise
needs.
Blackwell
technology,
along
with
NVIDIA
Quantum-2,
Quantum-X800
InfiniBand
networking,
NVIDIA
Spectrum™-X
Ethernet
networking,
and
NVIDIA
BlueField®-3
DPUs,
further
accelerates
this
development.

Enterprises
can
also
access
the
NVIDIA
AI
Enterprise
software
platform,
which
includes
NVIDIA
NIM™
inference
microservices,
to
create
and
run
production-grade
generative
AI
applications.

Adoption
in
Taiwan

During
his
keynote,
Huang
highlighted
that
Taiwan’s
leading
companies
are
swiftly
adopting
Blackwell
to
integrate
AI
into
their
businesses.
Chang
Gung
Memorial
Hospital
plans
to
use
the
NVIDIA
Blackwell
computing
platform
to
advance
biomedical
research
and
enhance
clinical
workflows.
Foxconn
intends
to
develop
smart
solutions
for
AI-powered
electric
vehicles
and
robotics
platforms,
as
well
as
generative
AI
services.

Image
source:
Shutterstock

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